Search

Navigator: RI | Publications | Integrating Context for Information Fusion: Automating Intelligence Preparation of the Battlefield

Graphics enhanced version of this site

Integrating Context for Information Fusion: Automating Intelligence Preparation of the Battlefield
R. Glinton, J.A. Giampapa, S.R. Owens, K. Sycara, C.E. Grindle, and C.M. Lewis
Proceedings of the 5th Conference on Human Performance, Situation Awareness, and Automation Technology, March, 2004.

Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference


Download [Help]

Adobe portable document format (pdf) [483 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


Abstract

Terrain information supplies an important context for ground operations. The layout of terrain is a determining factor in arraying of forces, both friendly and enemy, and the structuring of Courses of Action (COAs). For example, key terrain, such as a bridge over an unfordable river, or terrain that allows observation of the opposing forces line of advance, is likely to give a big military advantage to the force that holds it. Combining information about terrain features with hypotheses about enemy assets can lead to inferences about possible avenues of approach, areas that provide cover and concealment, areas that are vulnerable to enemy observation, or choke points. Currently, intelligence officers manually combine terrain based information, information about the tactical significance of certain terrain features as well as information regarding enemy assets and doctrine to form hypotheses about the disposition of enemy forces and enemy intent. In this paper, we present a set of algorithms and tools for automating terrain analysis and compare their results with those of experienced intelligence analysts.


Notes

Sponsor: Air Force Office of Scientific Research
Grant ID: F49620-01-1-0542

Associated center: CIMDS
Associated lab/group: Intelligent Software Agents
Associated project: AFOSR PRET: Information Fusion for Command and Control: The Translation of Raw Data To Actionable Knowledge and Decision

Number of pages: 6


Text Reference

R. Glinton, J.A. Giampapa, S.R. Owens, K. Sycara, C.E. Grindle, and C.M. Lewis, "Integrating Context for Information Fusion: Automating Intelligence Preparation of the Battlefield," Proceedings of the 5th Conference on Human Performance, Situation Awareness, and Automation Technology, March, 2004.


BibTeX Reference

@inproceedings{Glinton_2004_4683,
   author = "Robin Glinton and Joseph Andrew Giampapa and Sean R Owens and Katia Sycara and Charles E. Grindle and C. Michael Lewis",
   title = "Integrating Context for Information Fusion: Automating Intelligence Preparation of the Battlefield",
   booktitle = "Proceedings of the 5th Conference on Human Performance, Situation Awareness, and Automation Technology",
   month = "March",
   year = "2004"
}


The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
For updates and comments, please see these instructions.
This page maintained by robotwebmaster@ri.cmu.edu